Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "58" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 72 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 70 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459888 | RF_maintenance | 100.00% | 0.00% | 30.29% | 0.00% | - | - | 6.056443 | -0.126931 | -0.700102 | 1.331158 | 10.425208 | 87.414225 | 2.140261 | 1.728494 | 0.6973 | 0.5368 | 0.3986 | nan | nan |
| 2459887 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.267323 | 1.776635 | 2.428741 | 2.893015 | 2.828234 | 2.480612 | -1.406294 | -1.477814 | 0.6924 | 0.6999 | 0.3721 | nan | nan |
| 2459886 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.150625 | 1.658350 | 2.546235 | 2.816341 | 3.511410 | 3.069930 | 1.136972 | 1.093986 | 0.7173 | 0.7546 | 0.3150 | nan | nan |
| 2459885 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.189794 | 20.952208 | 61.658237 | 63.769685 | 14.188846 | 19.418381 | 17.531797 | 12.346430 | 0.0366 | 0.0341 | 0.0015 | nan | nan |
| 2459884 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.874423 | 11.919185 | 11.562718 | 12.267676 | 7.972806 | 9.906714 | 2.840301 | 2.282815 | 0.0354 | 0.0329 | 0.0018 | nan | nan |
| 2459883 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 14.153126 | 16.767964 | 55.770752 | 57.478891 | 7.939934 | 10.876027 | 10.130486 | 9.337544 | 0.0383 | 0.0349 | 0.0020 | nan | nan |
| 2459882 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 23.517616 | 27.324839 | 62.194035 | 64.658601 | 11.217645 | 15.264794 | 4.251075 | 3.603478 | 0.0391 | 0.0359 | 0.0019 | nan | nan |
| 2459881 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.249748 | 15.563365 | 71.026520 | 73.538080 | 22.039846 | 30.492026 | 10.493832 | 17.782456 | 0.0367 | 0.0341 | 0.0006 | nan | nan |
| 2459880 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 16.172326 | 18.916406 | 58.831361 | 60.426986 | 6.775586 | 9.270054 | 3.646926 | 2.830402 | 0.0360 | 0.0334 | 0.0016 | nan | nan |
| 2459879 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.201139 | 10.033116 | 10.355047 | 10.989715 | 1.454722 | 2.043180 | 4.744588 | 4.050641 | 0.0356 | 0.0326 | 0.0022 | nan | nan |
| 2459878 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 14.548564 | 16.933614 | 71.241381 | 73.100688 | 11.601472 | 15.760831 | 11.786155 | 9.340822 | 0.0391 | 0.0362 | 0.0018 | nan | nan |
| 2459876 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 16.558132 | 19.070344 | 51.195198 | 53.560443 | 29.954951 | 44.157733 | 9.596541 | 8.123667 | 0.0388 | 0.0358 | 0.0020 | nan | nan |
| 2459875 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 17.334244 | 20.513636 | 67.086226 | 69.611018 | 13.411502 | 20.774108 | 5.069215 | 9.423878 | 0.0378 | 0.0354 | 0.0017 | nan | nan |
| 2459874 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 24.525630 | 28.588807 | 34.960322 | 36.589881 | 18.317284 | 27.594968 | 7.047386 | 5.863419 | 0.0377 | 0.0348 | 0.0018 | nan | nan |
| 2459873 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.541291 | 21.471293 | 45.245849 | 47.297259 | 7.356572 | 11.274908 | 3.214762 | 2.796873 | 0.0383 | 0.0362 | 0.0016 | nan | nan |
| 2459872 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 16.047053 | 19.074026 | 57.961308 | 60.663289 | 20.320935 | 31.533339 | 4.647622 | 3.475849 | 0.0347 | 0.0325 | 0.0018 | nan | nan |
| 2459871 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.883596 | 15.575057 | 62.520505 | 64.791737 | 18.224086 | 26.106035 | 2.653746 | 1.938533 | 0.0362 | 0.0336 | 0.0018 | nan | nan |
| 2459870 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 21.850477 | 25.538555 | 47.059696 | 48.905732 | 11.029413 | 18.302230 | 10.378254 | 9.423895 | 0.0369 | 0.0335 | 0.0022 | nan | nan |
| 2459869 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 18.350077 | 20.351257 | 47.023105 | 48.569540 | 15.930409 | 23.191376 | 7.259771 | 6.278522 | 0.0391 | 0.0358 | 0.0022 | nan | nan |
| 2459868 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 19.913826 | 23.660412 | 71.220454 | 73.638130 | 10.944404 | 17.236357 | 7.210589 | 5.565003 | 0.0363 | 0.0334 | 0.0018 | nan | nan |
| 2459867 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.787187 | 16.973451 | 55.929408 | 58.285720 | 5.871565 | 10.036196 | 4.787894 | 3.434607 | 0.0365 | 0.0332 | 0.0024 | nan | nan |
| 2459866 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 15.976249 | 19.236195 | 52.713924 | 55.114419 | 6.678954 | 11.356949 | 3.159837 | 2.522608 | 0.0404 | 0.0365 | 0.0023 | nan | nan |
| 2459865 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 17.537205 | 21.707485 | 64.035749 | 67.170204 | 15.886938 | 24.141765 | 15.903296 | 12.970215 | 0.0345 | 0.0321 | 0.0018 | nan | nan |
| 2459864 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 21.446668 | 26.404103 | 25.597533 | 27.477140 | 8.329402 | 13.489447 | 7.315286 | 6.609157 | 0.0347 | 0.0321 | 0.0018 | nan | nan |
| 2459863 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.837278 | 15.923060 | 8.100957 | 8.866602 | 3.081911 | 5.188336 | 3.536090 | 2.710161 | 0.0355 | 0.0327 | 0.0017 | nan | nan |
| 2459862 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.596156 | 16.113958 | 29.240533 | 31.578592 | 12.579681 | 19.085551 | 2.808738 | 2.101927 | 0.0381 | 0.0352 | 0.0018 | nan | nan |
| 2459861 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.736722 | 11.900785 | 8.171341 | 9.099159 | 2.602209 | 3.300136 | 3.024032 | 2.498928 | 0.0344 | 0.0321 | 0.0018 | nan | nan |
| 2459860 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.662248 | 13.154097 | 24.531084 | 26.347789 | 14.829581 | 21.820400 | 2.975675 | 2.215078 | 0.0356 | 0.0327 | 0.0020 | nan | nan |
| 2459859 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.869075 | 11.193102 | 8.838717 | 9.778148 | 2.297334 | 2.885207 | 1.647427 | 1.164560 | 0.0368 | 0.0337 | 0.0016 | nan | nan |
| 2459858 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 9.556783 | 11.884321 | 9.144094 | 10.026078 | 2.366092 | 3.050427 | 3.067003 | 2.530397 | 0.0355 | 0.0332 | 0.0016 | 1.127509 | 1.123357 |
| 2459857 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 7.061738 | 6.446334 | 1.428644 | 1.640468 | 1.499582 | 2.943093 | 9.755672 | 8.598534 | 0.0255 | 0.0240 | 0.0009 | nan | nan |
| 2459856 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.422373 | 17.963582 | 23.073412 | 24.662207 | 6.747806 | 12.367409 | 4.236059 | 3.963897 | 0.0371 | 0.0336 | 0.0021 | 1.153819 | 1.149349 |
| 2459855 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 15.020490 | 17.600597 | 24.100542 | 25.536734 | 2.743211 | 4.327797 | 1.901462 | 1.334143 | 0.0369 | 0.0339 | 0.0017 | 1.149653 | 1.146712 |
| 2459854 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 15.046196 | 15.902427 | 18.458065 | 19.489701 | 3.776567 | 4.251412 | 4.235618 | 3.761810 | 0.0375 | 0.0342 | 0.0016 | 1.148179 | 1.144144 |
| 2459853 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 12.630936 | 15.700276 | 25.074350 | 27.012031 | 7.119570 | 11.121337 | 5.017723 | 4.347638 | 0.0389 | 0.0352 | 0.0021 | 1.158040 | 1.152649 |
| 2459852 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.140699 | 16.799798 | 25.817632 | 28.228954 | 15.691258 | 20.076315 | 16.873923 | 16.542281 | 0.0345 | 0.0318 | 0.0016 | 1.144578 | 1.141759 |
| 2459851 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 9.858340 | 21.015767 | 26.550557 | 30.192701 | 21.571601 | 43.618153 | 14.857156 | 21.607826 | 0.0609 | 0.0483 | 0.0080 | 1.187269 | 1.171732 |
| 2459850 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 11.978275 | 18.592303 | 22.950170 | 25.130504 | 10.363400 | 19.961295 | 8.241577 | 17.094340 | 0.0279 | 0.0263 | 0.0016 | 1.147802 | 1.143827 |
| 2459849 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 13.943287 | 16.937911 | 46.330830 | 49.646543 | 7.152335 | 13.042382 | 5.139051 | 6.615631 | 0.0282 | 0.0264 | 0.0019 | 1.178669 | 1.174447 |
| 2459848 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 12.698532 | 15.199694 | 29.727901 | 32.414797 | 14.360842 | 21.903535 | 4.079544 | 4.328012 | 0.0280 | 0.0264 | 0.0017 | 1.169238 | 1.165286 |
| 2459847 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 14.715068 | 17.761102 | 27.743006 | 30.596106 | 21.903283 | 28.272135 | 2.135129 | 1.548366 | 0.0275 | 0.0260 | 0.0016 | 1.171138 | 1.166386 |
| 2459846 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 24.147604 | 26.377415 | 33.702278 | 35.570169 | 21.706525 | 21.096693 | 5.631938 | 4.846579 | 0.0295 | 0.0276 | 0.0030 | 1.217586 | 1.197340 |
| 2459845 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 16.114651 | 19.409549 | 39.380954 | 41.847648 | 10.218570 | 16.732479 | 3.183368 | 2.014713 | 0.0436 | 0.0398 | 0.0024 | 1.132520 | 1.127421 |
| 2459844 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 14.879169 | 15.452362 | 5.864911 | 8.517685 | 3.079212 | 2.442691 | 12.694035 | 11.455551 | 0.0253 | 0.0238 | 0.0009 | nan | nan |
| 2459843 | digital_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 16.366531 | 19.254533 | 18.917034 | 20.471857 | 64.610921 | 71.087180 | 1.442209 | 0.911971 | 0.0457 | 0.0410 | 0.0049 | 1.257227 | 1.254190 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Temporal Variability | 87.414225 | -0.126931 | 6.056443 | 1.331158 | -0.700102 | 87.414225 | 10.425208 | 1.728494 | 2.140261 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 2.893015 | 1.776635 | 1.267323 | 2.893015 | 2.428741 | 2.480612 | 2.828234 | -1.477814 | -1.406294 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | ee Shape | 12.150625 | 12.150625 | 1.658350 | 2.546235 | 2.816341 | 3.511410 | 3.069930 | 1.136972 | 1.093986 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 63.769685 | 20.952208 | 18.189794 | 63.769685 | 61.658237 | 19.418381 | 14.188846 | 12.346430 | 17.531797 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 12.267676 | 11.919185 | 9.874423 | 12.267676 | 11.562718 | 9.906714 | 7.972806 | 2.282815 | 2.840301 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 57.478891 | 16.767964 | 14.153126 | 57.478891 | 55.770752 | 10.876027 | 7.939934 | 9.337544 | 10.130486 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 64.658601 | 27.324839 | 23.517616 | 64.658601 | 62.194035 | 15.264794 | 11.217645 | 3.603478 | 4.251075 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 73.538080 | 15.563365 | 13.249748 | 73.538080 | 71.026520 | 30.492026 | 22.039846 | 17.782456 | 10.493832 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 60.426986 | 18.916406 | 16.172326 | 60.426986 | 58.831361 | 9.270054 | 6.775586 | 2.830402 | 3.646926 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 10.989715 | 10.033116 | 8.201139 | 10.989715 | 10.355047 | 2.043180 | 1.454722 | 4.050641 | 4.744588 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 73.100688 | 16.933614 | 14.548564 | 73.100688 | 71.241381 | 15.760831 | 11.601472 | 9.340822 | 11.786155 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 53.560443 | 16.558132 | 19.070344 | 51.195198 | 53.560443 | 29.954951 | 44.157733 | 9.596541 | 8.123667 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | RF_maintenance | nn Power | 69.611018 | 17.334244 | 20.513636 | 67.086226 | 69.611018 | 13.411502 | 20.774108 | 5.069215 | 9.423878 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 36.589881 | 24.525630 | 28.588807 | 34.960322 | 36.589881 | 18.317284 | 27.594968 | 7.047386 | 5.863419 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 47.297259 | 18.541291 | 21.471293 | 45.245849 | 47.297259 | 7.356572 | 11.274908 | 3.214762 | 2.796873 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 60.663289 | 19.074026 | 16.047053 | 60.663289 | 57.961308 | 31.533339 | 20.320935 | 3.475849 | 4.647622 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 64.791737 | 15.575057 | 12.883596 | 64.791737 | 62.520505 | 26.106035 | 18.224086 | 1.938533 | 2.653746 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 48.905732 | 21.850477 | 25.538555 | 47.059696 | 48.905732 | 11.029413 | 18.302230 | 10.378254 | 9.423895 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 48.569540 | 18.350077 | 20.351257 | 47.023105 | 48.569540 | 15.930409 | 23.191376 | 7.259771 | 6.278522 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 73.638130 | 19.913826 | 23.660412 | 71.220454 | 73.638130 | 10.944404 | 17.236357 | 7.210589 | 5.565003 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 58.285720 | 13.787187 | 16.973451 | 55.929408 | 58.285720 | 5.871565 | 10.036196 | 4.787894 | 3.434607 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 55.114419 | 19.236195 | 15.976249 | 55.114419 | 52.713924 | 11.356949 | 6.678954 | 2.522608 | 3.159837 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 67.170204 | 17.537205 | 21.707485 | 64.035749 | 67.170204 | 15.886938 | 24.141765 | 15.903296 | 12.970215 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 27.477140 | 26.404103 | 21.446668 | 27.477140 | 25.597533 | 13.489447 | 8.329402 | 6.609157 | 7.315286 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Shape | 15.923060 | 12.837278 | 15.923060 | 8.100957 | 8.866602 | 3.081911 | 5.188336 | 3.536090 | 2.710161 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 31.578592 | 12.596156 | 16.113958 | 29.240533 | 31.578592 | 12.579681 | 19.085551 | 2.808738 | 2.101927 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Shape | 11.900785 | 11.900785 | 9.736722 | 9.099159 | 8.171341 | 3.300136 | 2.602209 | 2.498928 | 3.024032 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 26.347789 | 10.662248 | 13.154097 | 24.531084 | 26.347789 | 14.829581 | 21.820400 | 2.975675 | 2.215078 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Shape | 11.193102 | 8.869075 | 11.193102 | 8.838717 | 9.778148 | 2.297334 | 2.885207 | 1.647427 | 1.164560 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Shape | 11.884321 | 11.884321 | 9.556783 | 10.026078 | 9.144094 | 3.050427 | 2.366092 | 2.530397 | 3.067003 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | ee Temporal Discontinuties | 9.755672 | 6.446334 | 7.061738 | 1.640468 | 1.428644 | 2.943093 | 1.499582 | 8.598534 | 9.755672 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 24.662207 | 14.422373 | 17.963582 | 23.073412 | 24.662207 | 6.747806 | 12.367409 | 4.236059 | 3.963897 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 25.536734 | 17.600597 | 15.020490 | 25.536734 | 24.100542 | 4.327797 | 2.743211 | 1.334143 | 1.901462 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 19.489701 | 15.902427 | 15.046196 | 19.489701 | 18.458065 | 4.251412 | 3.776567 | 3.761810 | 4.235618 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 27.012031 | 15.700276 | 12.630936 | 27.012031 | 25.074350 | 11.121337 | 7.119570 | 4.347638 | 5.017723 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 28.228954 | 14.140699 | 16.799798 | 25.817632 | 28.228954 | 15.691258 | 20.076315 | 16.873923 | 16.542281 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Temporal Variability | 43.618153 | 9.858340 | 21.015767 | 26.550557 | 30.192701 | 21.571601 | 43.618153 | 14.857156 | 21.607826 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 25.130504 | 11.978275 | 18.592303 | 22.950170 | 25.130504 | 10.363400 | 19.961295 | 8.241577 | 17.094340 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 49.646543 | 13.943287 | 16.937911 | 46.330830 | 49.646543 | 7.152335 | 13.042382 | 5.139051 | 6.615631 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 32.414797 | 15.199694 | 12.698532 | 32.414797 | 29.727901 | 21.903535 | 14.360842 | 4.328012 | 4.079544 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 30.596106 | 17.761102 | 14.715068 | 30.596106 | 27.743006 | 28.272135 | 21.903283 | 1.548366 | 2.135129 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 35.570169 | 24.147604 | 26.377415 | 33.702278 | 35.570169 | 21.706525 | 21.096693 | 5.631938 | 4.846579 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Power | 41.847648 | 19.409549 | 16.114651 | 41.847648 | 39.380954 | 16.732479 | 10.218570 | 2.014713 | 3.183368 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Shape | 15.452362 | 14.879169 | 15.452362 | 5.864911 | 8.517685 | 3.079212 | 2.442691 | 12.694035 | 11.455551 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 58 | N05 | digital_maintenance | nn Temporal Variability | 71.087180 | 19.254533 | 16.366531 | 20.471857 | 18.917034 | 71.087180 | 64.610921 | 0.911971 | 1.442209 |